Book Image

Learning Jupyter

By : Dan Toomey
Book Image

Learning Jupyter

By: Dan Toomey

Overview of this book

Jupyter Notebook is a web-based environment that enables interactive computing in notebook documents. It allows you to create and share documents that contain live code, equations, visualizations, and explanatory text. The Jupyter Notebook system is extensively used in domains such as data cleaning and transformation, numerical simulation, statistical modeling, machine learning, and much more. This book starts with a detailed overview of the Jupyter Notebook system and its installation in different environments. Next we’ll help you will learn to integrate Jupyter system with different programming languages such as R, Python, JavaScript, and Julia and explore the various versions and packages that are compatible with the Notebook system. Moving ahead, you master interactive widgets, namespaces, and working with Jupyter in a multiuser mode. Towards the end, you will use Jupyter with a big data set and will apply all the functionalities learned throughout the book.
Table of Contents (16 chapters)
Learning Jupyter
About the Author
About the Reviewer

Configuration options for Jupyter

You can configure some of the display parameters used when presenting notebooks. These are configurable due to the use of a product (CodeMirror) to present and modify the notebook. CodeMirror is a JavaScript-based editor for use within web pages (notebooks).

The list of configurable options is still in development. Some of the options are as follows:

  • lineSeparator: The character used to separate text lines

  • theme: The overall theme of presentation used in the notebook

  • indentUnit: How many spaces to indent blocks of coding

To change the configuration of one of the options, you open the JavaScript window of your browser, enter the coding to modify an option, and then load your notebook. Then the modifications you made would be applied to the notebook presentation. There is further documentation available at

For example, to change the indentation (indent-unit) for your notebook, you would use the following JavaScript:

var mycell = Jupyter.notebook.get_selected_cell();
var cell_config = mycell.config;
var code_patch = {

You have now seen all of the standard operations available to you in a Jupyter Notebook.